Multi-output regressor

Fits one regressor for each target of outputs. Useful for extending regressors that do not natively support multiple outputs

Documentation

Fits one regressor for each target of outputs. Useful for extending regressors that do not natively support multiple outputs

Configuration:

• n_jobs

  The number of jobs to run in parallel for fit. None means 1 unless in a joblib.parallel_backend context. -1 means using all processors. See n_jobs for more details.

  When individual estimators are fast to train or predict using n_jobs>1 can result in slower performance due to the overhead of spawning processes.

Attributes:

Input ports:

modelmodel

model

Output ports:

out-modelmodel

Output model

Definition

Some of the docstrings for this module have been automatically extracted from the scikit-learn library and are covered by their respective licenses.

class node_ensemble.MultiOutputRegressor